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Field
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which
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diverse empirical tools. Analyze rich datasets to reveal how key events influence behavioral trajectories. Maintain transparent scientific records, including developing software repositories for data
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, without the use of simulation software familiar to process engineers. In this thesis, we aim to: - Propose generative models for other types of cycles, based on existing models. To do this, we could use
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VR environment featuring the ten most prominent historical haptic compositions, in collaboration with a programmer and designer from CICANT at Lusófona University. Integrate Multimodal Feedback Systems
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and society, we take an active role as a societal developer. We are looking for individuals who are passionate about their field and who want to contribute to the development of Østfold University
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engineering, system engineering, or related fields. Solid background in process safety, quantitative risk assessment, and simulation methods. Experience in programming and/or safety analysis software. Familiar
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project developers, need to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be
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, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software